The Bachelor of Science program in Statistics provides rigorous training in the theoretical foundations of statistics, statistical modeling and methodology, and applied data analysis. We also offer a Data Science option which is ideal for students with an interest in developing computational and data management skills.
As per University of Washington rules, students need a total of 180 credits in order to graduate. The University and College of Arts and Science graduation requirements can be found in your DARS report.
Bachelor of Science in Statistics: Minimum of 65 credits as follows
A minimum GPA of 2.0 and cumulative GPA of 2.5 is required in all courses used to satisfy major requirements.
Mathematics (25 - 30 credits):
- Calculus: MATH 1245, MATH 1255, MATH 1265 and MATH 3243 . (students admitted fall 2019 and earlier should replace the MATH 324 requirement with MATH 424)
- Linear Algebra: MATH 3083 .
- Differential equations: MATH 3073.
- Mathematical reasoning & analysis: MATH 3003 and MATH 3273.
- Students can replace all of the above requirements by taking the Honors sequence MATH 1345, MATH 1355, MATH 1365, MATH 3345, and MATH 3355
- Statistics (24 - 27 credits):
- Introductory statistics -- one from STAT 3115 (preferred), or STAT 3904 or approved substitute.
- Probability theory -- one from STAT 3404 (preferred) or both STAT/MATH 3943 and STAT/MATH 3953.
- Statistics theory -- STAT 3414 and STAT 3424.
- Applied statistics – STAT 4214 and STAT 4234.
- Computing (7 - 9 credits):
- Introductory programming: One of CSE 1424 or CSE 1604
- Upper level programming: One of STAT 3023 (recommended) or CSE 1435 or approved substitute.
- Students in the Data Science option must take 9 credits from a slightly expanded list which includes the courses named above and also CSE 1634.
- Electives: At least 3 courses for a total of 9 credits from the list of electives. All elective choices require prior approval by the Statistics undergraduate advisor. Students in the Data Science option must choose from the following list.
- Visualization: One of HCDE 4115, INFO 4745, CSE 4424 , CSE 4124.
- Database: One of CSE 4144 or INFO 3305.
- Ethics: One of SOC 2253/5 or INFO 3505.
- Statistics: Two from STAT 4034, STAT 4253 or STAT 4354.
Planning Your Program of Study
The statistics major may be completed in 2 years. The following schedule shows how a student who discovers statistics after arriving at UW may still be able to complete all the necessary coursework for submitting an application.
||Take a break|
Take a break
||Do an internship summer of junior year|
* : CSE 416 "Introduction to Machine Learning'" does not fulfill major requirements, however, alumni have noted that the course was helpful for summer internships/jobs. STAT 435 "Introduction to Statistical Machine Learning" is best taken after completing the applied statistics sequence STAT 421 and 423.
** : STAT/MATH 396 "Probability III" is a good elective for those considering a PhD in statistics.
- Students entering with AP credit for MATH 124 or MATH 124 - MATH 125 are encouraged to take a look at the exam archives for 124 and 125 before making a decision on whether or not to skip these foundational courses. The calculus courses at UW emphasize problem solving and geometry. As such, they go beyond most AP calculus curricula.
- STAT 220, STAT 221 or STAT 290 is never allowed as a suitable substitute. STAT 311 is a better choice than STAT 390 for statistics majors as it emphasizes statistical reasoning.
- The combination of both STAT/MATH 394 and 395 may be used to replace STAT 340 as a prerequisite to STAT 341.
- All Statistics majors MUST complete STAT 342 prior to enrolling in STAT 421 and 423. (STAT 390 or STAT 509 are NOT sufficient for a Statistics major to enroll in either STAT 421 or STAT 423).
- The placement of MATH 300 and MATH 327 in the above schedule will be beneficial for most students. Mathematically mature students may consider taking MATH 327 in their junior year.